Senior Business Intel Engineer

Description

As a Business Intelligence Engineer, you get a lot done. You work very efficiently and routinely deliver the right things. You have a department-wide view of the analytical solutions that you build, and you consistently think in terms of automating or expanding the results company-wide. You have performed multiple complex, and business critical analyses that serve major parts of the business. Your work and your approach to work are exemplary – you drive best practices and set standards for your team. Other analytical individuals in your department regard you as an expert in one or more analytical areas. You show strong analysis making technical trade-offs between your group’s short term and long term business needs, and the needs of the company as a whole. When confronted with discordant views, you find the best way forward and convince your team. You are vocally self-critical. You proactively contribute to knowledge-sharing across the Amazon analytical community. You demonstrate resilience and navigate difficult situations with composure and tact.

Amazon has a culture of data-driven decision-making, and demands business intelligence that is timely, accurate, and actionable. Our environment is very fast-paced, and requires someone who is flexible, detail-oriented, passionate about the customer and comfortable working with numerous stakeholders across the organization and worldwide.

We are looking for a Business Intelligence Engineer to help us extract meaning from large volumes of data to make the right business decisions. The candidate will have to work alongside with stakeholders in the organization to make it happen. The candidate knows and loves working with business intelligence tools, can model multidimensional datasets, and can partner effectively with business leaders to answer key business questions. You are analytical and creative, and you don’t quit.

This will be a great fit if you get excited by partnering with Product Managers and technical peers to dig deep into the business challenges to understand and identify insights that will enable us to meet associate needs at a global scale. You need excellent analytical abilities as well as business acumen and an ability to tie together from across Amazon to help enable effective decision making. An ability to communicate insight to the business via development and implementation of ongoing and subject-specific reporting artifacts is a critical skill in this role.

A key aspect of this role involves leveraging Generative AI and intelligent agents to analyze vast datasets to uncover hidden patterns and emerging business opportunities. You will be responsible for generating data-driven narratives that translate complex insights into actionable business recommendations. The role requires using AI to automate the discovery of correlations and causalities in business operations, and develop AI-powered dashboards that tell compelling stories through data visualization.


Key job responsibilities
- Gather and translate business requirements into scalable solutions that work well within the overall data architecture.
- Design, develop and establish KPIs to monitor analysis and provide strategic insights to drive growth and performance of our products.
- Work with large data sets, automate data extraction, and build monitoring/reporting dashboards and high value, self-service automated BI solutions.
- Report key insight trends, using statistical rigor to simplify and inform the larger team of noteworthy story lines that impact the business.
- Collaborate with date engineering and product management team to develop solutions that utilize the highest standards of analytical rigor and data integrity.

Basic Qualifications

- 10 years of professional or military experience
- 5 years of SQL experience
- 1 years of SQL, ETL or Oracle experience
- 1 years of processing large, multi-dimensional datasets from multiple sources experience
- 1 years of performing statistical analysis experience
- 1 years of developing automated reporting experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining

Preferred Qualifications

- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.